E-mail: olgierd.unold@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Computer Engineering

ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 324
phone +48 71 320 2279

Office hours

• Tuesday 11.00-13.00
• Thursday 11.00-13.00

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Research fields

• Machine learning (grammatical inference); computational intelligence (evolutionary algorithms, learning classifier systems, fuzzy rule systems); bioinformatics; DNA Computing; natural language processing.

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Recent papers

2017

• Ptak R., Żygadło B., Unold O., Projection-based text line segmentation with a variable threshold. International Journal of Applied Mathematics and Computer Science. 2017, vol. 27, nr 1, 195-206.

2016

• Unold O., Tarnawski R., Cultural Ant Colony Optimization on GPUs for Travelling Salesman Problem. In: Pardalos P., Conca P., Giuffrida G., Nicosia G. (eds) Machine Learning, Optimization and Big Data. MOD 2016. Lecture Notes in Computer Science. 2016, vol. 10122. Springer, Cham, 317-329.
• Wieczorek W., Unold O., Use of a novel grammatical inference approach in classification of amyloidogenic hexapeptides. Computational and Mathematical Methods in Medicine. 2016, vol. 2016,1-8.

2015

• Unold O., Tagowski T., A Parallel Consensus Clustering Algorithm. In: Pardalos P., Pavone M., Farinella G., Cutello V. (eds) Machine Learning, Optimization, and Big Data. Lecture Notes in Computer Science. 2015, vol. 9432. Springer, Cham, 318-324.

2014

• Walkowicz E., Unold O., Maciejewski H., Skrobanek P., The effect of selected factors on the length of gestation period in Silesian mares. Animal Science Papers and Reports. 2014, vol. 32, nr 1, 55-64.

2013

• Stanisławski J., Kotulska M., Unold O., Machine learning methods are compatible with 3D profile classification of amylogenic hexapeptides, BMC Bioinformatics. 2013, vol. 14 (21), 1-19.
• Kotulska M., Unold O., On the amyloid datasets used for training PAFIG - how (not) to extend the experimental dataset of hexapeptides. BMC Bioinformatics. 2013, vol. 14, [art.] 351, 1-8.

Papers in DONA database

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Selected publications
1	Artykuł 2025 Kamil A Szyc, Marta Hebda, Kamil Dembiński, Michał Zdunek, Olgierd Unold, Video-based automated lameness detection for dairy cows. Sensors. 2025, vol. 25, nr 18, art. 5771, s. 1-22. ISSN: 1424-8220 Zasoby:DOIURLSFX
2	Referat konferencyjny 2025 Mateusz K Łabędzki, Olgierd Unold, Why state differentiation in ACS2 is not enough in aliased environments. W: GECCO'25 Companion : Proceedings of the 2025 Genetic and Evolutionary Computation Conference Companion, July 14-18, 2025, Málaga, Spain / ed. Gabriela Ochoa. New York, NY : ACM, cop. 2025. s. 2249-2257. ISBN: 979-8-4007-1464-1 Zasoby:DOIURL
3	Artykuł 2024 Wojciech Dobrowolski, Kamil Iwach-Kowalski, Maciej Nikodem, Olgierd Unold, Log-based fault localization with unsupervised log segmentation. Applied Sciences. 2024, vol. 14, nr 18, art. 8421, s. 1-14. ISSN: 2076-3417 Zasoby:DOIURLSFX
4	Artykuł 2024 Wojciech Dobrowolski, Mikołaj Libura, Maciej Nikodem, Olgierd Unold, Unsupervised log sequence segmentation. IEEE Access. 2024, vol. 12, s. 79003-79013. ISSN: 2169-3536 Zasoby:DOIURLSFX
5	Artykuł 2023 Mateusz K Łabędzki, Olgierd Unold, D0L-System inference from a single sequence with a genetic algorithm. Information. 2023, vol. 14, nr 6, art. 343, s. 1-16. ISSN: 2078-2489 Zasoby:DOIURLSFX
6	Artykuł 2023 Wojciech Dobrowolski, Maciej Nikodem, Olgierd Unold, Software failure log analysis for engineers - review. Electronics. 2023, vol. 12, nr 10, art. 2260, s. 1-21. ISSN: 2079-9292 Zasoby:DOIURLSFX
7	Artykuł 2023 Łukasz Śmierzchała, Norbert Kozłowski, Olgierd Unold, Anticipatory classifier system with episode-based experience replay. IEEE Access. 2023, vol. 11, s. 41190-41204. ISSN: 2169-3536 Zasoby:DOIURLSFX
8	Rozdział w monografii 2022 Dawid Siuda, Olgierd Unold, Zastosowanie filtrów morfologicznych w redukcji zakłóceń w obrazach cyfrowych. W: Stowarzyszenie Elektryków Polskich na Politechnice Wrocławskiej 2022 : trendy i rozwiązania technologiczne w elektrotechnice / red. Remigiusz Mydlikowski. Wrocław : Oficyna Wydawnicza Politechniki Wrocławskiej, 2022. s. 159-171. ISBN: 978-83-7493-226-4
9	Referat konferencyjny 2022 Wojciech Dobrowolski, Maciej Nikodem, Marek Zawistowski, Olgierd Unold, Improved software reliability through failure diagnosis based on clues from test and production logs. W: New Advances in Dependability of Networks and Systems : proceedings of the Seventeenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 27 – July 1, 2022, Wrocław, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2022. s. 42-49. ISBN: 978-3-031-06745-7; 978-3-031-06746-4 Zasoby:DOIURLSFX
10	Referat konferencyjny 2022 Olgierd Unold, Norbert Kozłowski, Łukasz Śmierzchała, Preliminary tests of an anticipatory classifier system with experience replay. W: GECCO’22 Companion : Proceedings of the 2022 Genetic and Evolutionary Computation Conference Companion, July 09-13, 2022 Boston, Massachusetts / ed. Jonathan E. Fieldsend. New York, NY : ACM, cop. 2022. s. 2095-2103. ISBN: 978-1-4503-9268-6 Zasoby:DOIURL
11	Artykuł 2022 Norbert Kozłowski, Olgierd Unold, Internalizing knowledge for Anticipatory Classifier Systems in discretized real-valued environments. IEEE Access. 2022, vol. 10, s. 33816-33828. ISSN: 2169-3536 Zasoby:DOIURLSFX

All publications